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Examples with Orthogonal Matching Pursuit and Compressive Sampling Matching Pursuit

实现图像下采样，实现的采样方法有最邻近采样法、二次插值法、双三次卷积法。(Image sampling, the sampling method to achieve the nearest neighbor sampling method, the quadratic interpolation, bicubic convolution.)

4——连通填充算法的实现 1.用户能够用鼠标绘制多边形。 2.可以清除屏幕，重新绘制。 3.填充颜色及多边形的颜色(4- Connectivity filling Algorithm 1. Users to draw polygons with the mouse. 2. Can clear the screen, re-mapping. 3. Polygon fill color and the color)

高分辨率遥感影像的支持张量机分类方法，此方法能够利用少量的训练样本实现更优的分类精度。(Support tensor machines resolution remote sensing image classification method, and this method can use a small amount of training samples to achieve better classification accuracy.)

zemax非序列下gaussian光束的matlab程序（包括zemax演示源文件）(zemax sequence under non-gaussian beam matlab program (including zemax demo source files))

图像拼接 sift 特征点，两幅图像进行拼配 拼接，先找找出特征点匹配(The image stitching， sift feature points, two images blending splicing find someone to identify the characteristics of point matching)

说明：  粒子群车辆路径规划，在二维环境下进行车辆的路径规划。(Particle swarm optimization (PSO) vehicle path planning is used for vehicle path planning in two-dimensional environment.)

K均值算法实现图像的分割，分割效果可以达到预期的效果(K-means algorithm to achieve image segmentation, segmentation results can be achieved the desired results)

基于SURF算法实现图像特征提取与描述，使用RANSAC进行图像细配准(SURF algorithm was used to extract and describe image features, and RANSAC was used for image registration)

说明：  图像经透镜的相位因子变换后在透镜后的光场分布(The distribution of light field after lens's phase factor transformation after lens.)